Silvio Peroni
- Artificial Intelligence top 2%
- Information Systems top 2%
- Information Systems and Management top 2%
- Molecular Biology
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- David M. ShottonFabio VitaliAngelo Di IorioAndrea Giovanni NuzzoleseAldo GangemiFrancesco PoggiValentina PresuttiDiego Reforgiato Recupero
- Topics
- Semantic Web and Ontologies (71 papers)Biomedical Text Mining and Ontologies (25 papers)Scientific Computing and Data Management (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientometrics
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Silvio Peroni
104 papers receiving 872 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 564
- Information Systems 345
- Information Systems and Management 181
- Molecular Biology 162
- Statistics, Probability and Uncertainty 119
Countries citing papers authored by Silvio Peroni
This map shows the geographic impact of Silvio Peroni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Silvio Peroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvio Peroni more than expected).
Fields of papers citing papers by Silvio Peroni
This network shows the impact of papers produced by Silvio Peroni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Silvio Peroni. The network helps show where Silvio Peroni may publish in the future.
Co-authorship network of co-authors of Silvio Peroni
This figure shows the co-authorship network connecting the top 25 collaborators of Silvio Peroni. A scholar is included among the top collaborators of Silvio Peroni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Silvio Peroni. Silvio Peroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 16 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 43 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 12 |
About Silvio Peroni
Silvio Peroni is a scholar working on Information Systems and Management, Artificial Intelligence and Information Systems, having authored 116 papers that have together received 948 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (71 papers), Biomedical Text Mining and Ontologies (25 papers) and Scientific Computing and Data Management (21 papers). The work is most often cited by research in Information Systems and Management (181 citations), Health Informatics (32 citations) and Artificial Intelligence (564 citations). Silvio Peroni has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include David M. Shotton, Fabio Vitali, Angelo Di Iorio, Andrea Giovanni Nuzzolese, Aldo Gangemi, Francesco Poggi, Valentina Presutti, Diego Reforgiato Recupero, Sergio Consoli and Paolo Ciccarese. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientometrics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.